Research On AI-Assisted Healthcare Service Booking Platform | IJCT Volume 13 – Issue 3 | IJCT-V13I3P47
International Journal of Computer Techniques
ISSN 2394-2231
Author
Shobhit Upadhyay, Vinay Kushwaha, Abhishek Patel, Prayas Maurya, Anuradha Singh
Abstract
Jeevan108 is a smart healthcare service booking platform developed to connect patients with nurses, caretakers, and compounders through a digital system. The platform enables healthcare workers to register, create profiles, and provide their services online, while patients can search and book suitable healthcare providers according to their needs. The system integrates secure online payments using Razorpay for safe and reliable transactions. It also includes an AI-powered chatbot developed using the Gemini API by Google to guide patients and assist them during the booking process. The proposed system aims to improve healthcare accessibility, reduce the difficulty of finding trusted medical support staff, and provide a more efficient and user-friendly healthcare service experience. The project demonstrates the integration of modern web technologies, artificial intelligence, and digital payment systems in the healthcare sector. Additionally, the platform helps in reducing the time and effort required to find healthcare assistance during emergencies. The system also provides a scalable and flexible solution that can be enhanced with future healthcare technologies and smart patient support features.
Keywords
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Conclusion
Jeevan108 is a smart healthcare service booking platform developed to simplify the process of connecting patients with nurses, caretakers, and compounders. The system provides a centralized digital solution that improves accessibility and convenience in healthcare service management. Patients can easily search and book healthcare providers according to their requirements through a user-friendly interface. The integration of Razorpay ensures secure and reliable online payment transactions within the platform. The AI-powered chatbot implemented using the Gemini API by Google enhances user interaction by providing instant guidance and support. The use of the MERN stack enables efficient frontend and backend communication with scalable database management. The platform successfully reduces the limitations of traditional offline healthcare service systems. It also demonstrates the effective integration of artificial intelligence, modern web technologies, and digital payment systems in the healthcare sector. Furthermore, the system can be expanded with advanced healthcare features and emergency support services in the future. Overall, the project provides an efficient, reliable, and user-friendly healthcare booking solution for modern healthcare needs.
References
[1] MongoDB Documentation and Database Management Concepts.
[2] React Official Frontend Development Documentation.
[3] Node.js Server-Side Runtime Environment Documentation.
[4] Express.js Backend Framework and API Development Guide.
[5] Razorpay Payment Gateway Integration Documentation.
[6] Google Gemini API and Artificial Intelligence Documentation.
[7] MERN Stack Web Application Development Concepts and Practices.
[8] REST API Architecture and Web Service Implementation Techniques.
[9] Authentication and Security Mechanisms in Web Applications.
[10] Cloud Database Management and Scalable System Design Concepts.
[11] Artificial Intelligence Applications in Modern Healthcare Systems.
[12] Digital Healthcare Platforms and Online Service Management Research.
How to Cite This Paper
Shobhit Upadhyay, Vinay Kushwaha, Abhishek Patel, Prayas Maurya, Anuradha Singh (2026). Research On AI-Assisted Healthcare Service Booking Platform^. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
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